Per Gösta Andersson Professor

Contact

Name and title: Per Gösta AnderssonProfessor

Phone: +468162956

Workplace: Department of Statistics Länk till annan webbplats.

Visiting address Room A 4604Albanovägen 12, Hus 4, plan 6

Postal address Statistiska institutionen106 91 Stockholm

About me

Professor of statistics

 

Below follow some suggestions for projects for graduate students:

 

Possible research project for graduate students:

Within survey sampling nonresponse is a big problem. We construct a sampling
design and perform the study but fail to get answers from all selected
participants (unit nonresponse). Calibration estimators have been used for a
long time in order to estimate population totals or means and they can also be
modified to take into account nonresponse, see e.g. Särndal and Lundström
(2005). However there are many possible ways to calibrate and according to
Deville and Särndal (1992), calibration can be linked to a distance measure.
The so called optimal calibration estimator is connected to a distance measure
as discussed in Andersson and Thorburn (2005) and this was followed up
for the nonresponse siuation in Andersson (2019). This latter article presents
point estimators and the current research by myself concerns variance estimation.
To understand how this should be done we go back to Särndal et al.
(2005) and study the linearisation technique they have utilised.
Another issue is how to use all available data we actually have access to
in our time for a specific sampling situation. We would like to have few
efficient auxiliary variables, but how should these be constructed and by
what principles? This, and the previous problem about variance estimation,
are possible research projects for a doctoral student.

 


References


Andersson, P.G. (2019). ”Design-based ”optimal” calibration weights under
unit nonresponse in survey sampling”, Survey Methodology, 45(3), 533-542.
Andersson, P. G., and Thorburn, D. (2005), ”An optimal calibration distance
leading to the optimal regression estimator,” Survey Methodology, 31(1), 95-
99.
Deville, J. C., and Särndal, C-E. (1992), ”Calibration estimators in survey
sampling,” Journal of the American Statistical Association, 87, 376-382.
Särndal, C. E., and Lundström, S. (2005), Estimation in surveys with nonresponse.
Chichester, UK: Wiley.

 

Advanced level (master)

Generakized linear models (Fall 24)
Inference theory (Fall 24)
Statistical computation (Spring 25)
Scientific theory (Spring 25)

 

Graduate level

Statistical inference, shared with Krzysctof Podgorski, Lund University (Spring 25)

My primary research interests are survey sampling and asymptotics within statistical theory. Aslo, I have worked quite a lot with didactic issues.

Concerning survey sampling the recent research has been concentrating on nonresponse problems and trying to manage these by calibration estimation techniques. Currently I am working on variance estimation of calibration estimators.

Another problem which I have spent much time on the last few years is how to construct an approimate confidence interval for the binomial p
Resulting conclusion: Do not ever use the Wald interval!

See some of the latest publications under "Publications".


Contact

Name and title: Per Gösta AnderssonProfessor

Phone: +468162956

Workplace: Department of Statistics Länk till annan webbplats.

Visiting address Room A 4604Albanovägen 12, Hus 4, plan 6

Postal address Statistiska institutionen106 91 Stockholm